Multivariate generalized linear mixed models using R / Damon M. Berridge, Robert Crouchley.
Material type:
TextPublication details: Boca Raton, Fla. : CRC Press, 2011.Description: xxiii, 280 p. : ill. ; [ca. 23-29] cmISBN: - 9781439813263
- Also available as an electronic resource.
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.062 B533 (Browse shelf(Opens below)) | Available | 132770 |
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| 000SA.062 Ar758 Theory of linear models and multivariate analysis | 000SA.062 B168 GLIM system, pt.3 | 000SA.062 B259S Some remarks concerning rasch's model for reading speed | 000SA.062 B533 Multivariate generalized linear mixed models using R / | 000SA.062 B581 Prediction and improved estimation in linear models | 000SA.062 B581 Prediction and improved estimation in linear models | 000SA.062 B865 Bayesian analysis of linear models |
"A Chapman & Hall book."
Includes bibliographical references (p. 249-257) and indexes.
1. Introduction -- 2. Generalized linear models for continuous/interval scale data -- 3. Generalized linear models for other types of data -- 4. Family of generalized linear models -- 5. Mixed models for continuous/interval scale data -- 6. Mixed models for binary data -- 7. Mixed models for ordinal data -- 8. Mixed models for count data -- 9. Family of two-level generalized linear models -- 10. Three-level generalized linear models -- 11. Models for multivariate data -- 12. Models for duration and event history data -- 13. Stayers, non-susceptibles and endpoints -- 14. Handling initial conditions/state dependence in binary data -- 15. Incidental parameters : an empirical comparison of fixed effects and random effects models.
Also available as an electronic resource.
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